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Introduzione alla Statistica Computazionale con R

  • Bruno Bertaccini,

Nowadays, the information transfer speed (on the web, but not only) requires the predisposition of ever more adequate analysis tools for working with data and increasingly faster algorithms, in order to allow the so-called decision maker to make decision based on information which can become obsolete very quickly with time. In the current situation, analysing this information in order to simulate complex decision-making scenarios could prove fundamental to secure an advantage over competitors. This text introduces the true art of Statistical Computing. In other words, it illustrates how computer programming skills in the development of algorithms can be used within Statistics for the virtual simulation and replication of realities and experiments of varying complexity. In order to do so, it uses the excellent development environment “R”.

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Bruno Bertaccini

University of Florence, Italy - ORCID: 0000-0002-5816-2964

Bruno Bertaccini is Associate Professor of Statistics at the “G. Parenti” Department of Statistics, Computer Science and Applications of the University of Florence. He is an expert in the evaluation of training policies, in the academic field and more, as well as an expert, more generally, in the evaluation of the effectiveness of public utility services to the person.
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  • Publication Year: 2018
  • Pages: 182
  • eISBN: 978-88-6453-674-3
  • Content License: CC BY 4.0
  • © 2018 Author(s)

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  • Publication Year: 2018
  • eISBN: 978-88-9273-117-2
  • Content License: CC BY 4.0
  • © 2018 Author(s)

PRINT
  • Publication Year: 2018
  • Pages: 182
  • eISBN: 978-88-6453-673-6
  • Content License: CC BY 4.0
  • © 2018 Author(s)

Bibliographic Information

Book Title

Introduzione alla Statistica Computazionale con R

Authors

Bruno Bertaccini

Peer Reviewed

Number of Pages

182

Publication Year

2018

Copyright Information

© 2018 Author(s)

Content License

CC BY 4.0

Metadata License

CC0 1.0

Publisher Name

Firenze University Press

DOI

10.36253/978-88-6453-674-3

ISBN Print

978-88-6453-673-6

eISBN (pdf)

978-88-6453-674-3

eISBN (xml)

978-88-9273-117-2

Series Title

Strumenti per la didattica e la ricerca

Series Issn ISSN

2704-6249

Series E-Issn

2704-5870

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